epoch 0: {'accuracy': 0.9037159070108} , current_best_acc: 0.9037159070108 train_loss: 0.312552273273468
epoch 1: {'accuracy': 0.9311733479773019} , current_best_acc: 0.9311733479773019 train_loss: 0.10018260031938553
epoch 2: {'accuracy': 0.923851363719568} , current_best_acc: 0.9311733479773019 train_loss: 0.1715008169412613
epoch 3: {'accuracy': 0.9192751235584844} , current_best_acc: 0.9311733479773019 train_loss: 0.09751945734024048
epoch 4: {'accuracy': 0.9280615046677649} , current_best_acc: 0.9311733479773019 train_loss: 0.1928626000881195
epoch 5: {'accuracy': 0.9302580999450851} , current_best_acc: 0.9311733479773019 train_loss: 0.3456878066062927
epoch 6: {'accuracy': 0.9302580999450851} , current_best_acc: 0.9311733479773019 train_loss: 0.17984768748283386
epoch 7: {'accuracy': 0.9117700896943072} , current_best_acc: 0.9311733479773019 train_loss: 0.43405917286872864
epoch 8: {'accuracy': 0.9304411495515285} , current_best_acc: 0.9311733479773019 train_loss: 0.12239114195108414
epoch 9: {'accuracy': 0.9346512904997254} , current_best_acc: 0.9346512904997254 train_loss: 0.12267328053712845
epoch 10: {'accuracy': 0.9388614314479223} , current_best_acc: 0.9388614314479223 train_loss: 0.06721048057079315
epoch 11: {'accuracy': 0.9359326377448288} , current_best_acc: 0.9388614314479223 train_loss: 0.13929513096809387
epoch 12: {'accuracy': 0.9397766794801391} , current_best_acc: 0.9397766794801391 train_loss: 0.05050305277109146
epoch 13: {'accuracy': 0.9427054731832326} , current_best_acc: 0.9427054731832326 train_loss: 0.0404227189719677
epoch 14: {'accuracy': 0.9373970345963756} , current_best_acc: 0.9427054731832326 train_loss: 0.482207328081131
epoch 15: {'accuracy': 0.938129233022149} , current_best_acc: 0.9427054731832326 train_loss: 0.22123943269252777
epoch 16: {'accuracy': 0.938129233022149} , current_best_acc: 0.9427054731832326 train_loss: 0.05045681074261665
epoch 17: {'accuracy': 0.9375800842028189} , current_best_acc: 0.9427054731832326 train_loss: 0.047070298343896866
epoch 18: {'accuracy': 0.9394105802672524} , current_best_acc: 0.9427054731832326 train_loss: 0.12974323332309723
epoch 19: {'accuracy': 0.9403258282994692} , current_best_acc: 0.9427054731832326 train_loss: 0.15454794466495514
epoch 20: {'accuracy': 0.9405088779059125} , current_best_acc: 0.9427054731832326 train_loss: 0.11156642436981201
epoch 21: {'accuracy': 0.9432546220025627} , current_best_acc: 0.9432546220025627 train_loss: 0.023194793611764908
epoch 22: {'accuracy': 0.9406919275123559} , current_best_acc: 0.9432546220025627 train_loss: 0.49701759219169617
epoch 23: {'accuracy': 0.9410580267252425} , current_best_acc: 0.9432546220025627 train_loss: 0.0566079318523407
epoch 24: {'accuracy': 0.942339373970346} , current_best_acc: 0.9432546220025627 train_loss: 0.08246233314275742
